Eeva Tuppurainen
- Virology top 0.1%
- Poxvirus research and outbreaks 44
- Epidemiology top 1%
- Herpesvirus Infections and Treatments 25
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- Vector-Borne Animal Diseases 17
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology 5
- Biotechnology top 2%
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- Plant Virus Research Studies 17
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- Virus-based gene therapy research 11
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- Bacillus and Francisella bacterial research 6
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- Infectious Diseases and Mycology 4
- Co-authors
- Chris OuraEstelle H. VenterJacobus A.W. CoetzerWilhelm H. StoltszCharles Euloge LamienDavid B. WallaceJimmy C. LubingaAdama Diallo
- Partner nations
- United KingdomSouth AfricaAustria
In The Last Decade
Eeva Tuppurainen
45 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 61
- Virology 2.9k
- Epidemiology 1.9k
- Ecology, Evolution, Behavior and Systematics 895
- Agronomy and Crop Science 446
- Biotechnology 321
Countries citing papers authored by Eeva Tuppurainen
This map shows the geographic impact of Eeva Tuppurainen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eeva Tuppurainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eeva Tuppurainen more than expected).
Fields of papers citing papers by Eeva Tuppurainen
This network shows the impact of papers produced by Eeva Tuppurainen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eeva Tuppurainen. The network helps show where Eeva Tuppurainen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eeva Tuppurainen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2021 | 18 | |
| 4 | 2021 | 120 | |
| 5 | 2021 | 50 | |
| 6 | 2020 | 35 | |
| 7 | 2019 | 89 | |
| 8 | 2018 | 58 | |
| 9 | 2018 | 24 | |
| 10 | 2016 | 41 | |
| 11 | 2014 | 117 | |
| 12 | 2013 | 23 | |
| 13 | 2013 | 40 | |
| 14 | 2013 | 62 | |
| 15 | 2013 | 37 | |
| 16 | 2010 | 134 | |
| 17 | Phylogenetic analysis of the capripoxvirus RPO30 gene and its use in a PCR test for differentiating sheep poxvirus from goat poxvirus. | 2010 | 0 |
| 18 | 2009 | 41 | |
| 19 | 2005 | 194 | |
| 20 | 2004 | 103 |
About Eeva Tuppurainen
Eeva Tuppurainen is a scholar working on Virology, Ecology, Evolution, Behavior and Systematics and Epidemiology, having authored 47 papers that have together received 3.4k indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (44 papers), Herpesvirus Infections and Treatments (25 papers), Plant Virus Research Studies (17 papers), Vector-Borne Animal Diseases (17 papers), Virus-based gene therapy research (11 papers), Bacillus and Francisella bacterial research (6 papers), Animal Disease Management and Epidemiology (5 papers) and Infectious Diseases and Mycology (4 papers). The work is most often cited by research in Virology (2.9k citations), Epidemiology (1.9k citations) and Ecology, Evolution, Behavior and Systematics (895 citations). Eeva Tuppurainen has collaborated with scholars based in United Kingdom, South Africa and Austria. Frequent co-authors include Chris Oura, Estelle H. Venter, Jacobus A.W. Coetzer, Wilhelm H. Stoltsz, Charles Euloge Lamien, David B. Wallace, Jimmy C. Lubinga, Adama Diallo, Shawn Babiuk and Kris De Clercq. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of General Virology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.